activity
20242026
collaborators

14 papers

cs.AI2026

TUR-DPO: Topology- and Uncertainty-Aware Direct Preference Optimization

Abdulhady Abas Abdullah, Fatemeh Daneshfar, Seyedali Mirjalili +1

Aligning large language models (LLMs) with human preferences is commonly done via reinforcement learning from human feedback (RLHF) with Proximal Policy Optimization (PPO) or, more…

cs.CV2026

BiCLIP: Bidirectional and Consistent Language-Image Processing for Robust Medical Image Segmentation

Saivan Talaei, Fatemeh Daneshfar, Abdulhady Abas Abdullah +1

Medical image segmentation is a cornerstone of computer-assisted diagnosis and treatment planning. While recent multimodal vision-language models have shown promise in enhancing se…

cs.CL2025

KurdSTS: The Kurdish Semantic Textual Similarity

Abdulhady Abas Abdullah, Hadi Veisi, Hussein M. Al

Semantic Textual Similarity (STS) measures the degree of meaning overlap between two texts and underpins many NLP tasks. While extensive resources exist for high-resource languages…

cs.AI2025

Evolution of meta's llama models and parameter-efficient fine-tuning of large language models: a survey

Abdulhady Abas Abdullah, Arkaitz Zubiaga, Seyedali Mirjalili +5

This review surveys the rapid evolution of Meta AI's LLaMA (Large Language Model Meta AI) series - from LLaMA 1 through LLaMA 4 and the specialized parameter-efficient fine-tuning…

eess.AS2025

From Dialect Gaps to Identity Maps: Tackling Variability in Speaker Verification

Abdulhady Abas Abdullah, Soran Badawi, Dana A. Abdullah +1

The complexity and difficulties of Kurdish speaker detection among its several dialects are investigated in this work. Because of its great phonetic and lexical differences, Kurdis…

cs.SD2025

Advanced Clustering Techniques for Speech Signal Enhancement: A Review and Metanalysis of Fuzzy C-Means, K-Means, and Kernel Fuzzy C-Means Methods

Abdulhady Abas Abdullah, Aram Mahmood Ahmed, Tarik Rashid +1

Speech signal processing is a cornerstone of modern communication technologies, tasked with improving the clarity and comprehensibility of audio data in noisy environments. The pri…